{"id":"W7099853154","doi":"","title":"Canadian Labour Market and Skills Researcher Network","year":2009,"lang":"en","type":"article","venue":"","topic":"Plant Taxonomy and Phylogenetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Salient; Theme (computing); Feature (linguistics); Displacement (psychology); Unemployment; Job loss; Social insurance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001548858,0.00004706753,0.00004995463,0.000003726852,0.0001207145,0.00003873976,0.00008229427,0.0000492378,0.001907446],"category_scores_gemma":[0.00001140805,0.00001564515,0.0000119334,0.0001133617,0.00001247921,0.00002065059,0.00001044581,0.00005338041,0.00001786634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000919863,"about_ca_system_score_gemma":0.000009324956,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02588256,"about_ca_topic_score_gemma":0.4046687,"domain_scores_codex":[0.9995129,0.00003366544,0.00004852983,0.0001007108,0.00005024951,0.0002539974],"domain_scores_gemma":[0.999687,0.00006836572,0.000007592526,0.0000188796,0.00001415218,0.0002040229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001812579,0.00003524678,0.153691,0.000001438246,0.000008643477,0.00002565175,0.00001722572,0.000004948852,0.004430132,0.005709572,0.2086152,0.6274428],"study_design_scores_gemma":[0.00001521221,0.0000459775,0.6383243,0.000001879589,5.618874e-7,0.000003136928,0.000007036684,0.00001173777,0.00004409819,0.001527357,0.3599733,0.00004543574],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9209965,0.0001503124,3.931605e-7,0.004627143,0.00002117089,0.00006368502,0.00003777798,0.00001301288,0.07408994],"genre_scores_gemma":[0.9881623,0.0001132278,0.0001867628,0.002140818,0.0001929374,9.202241e-7,0.00001205818,1.051879e-7,0.009190851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6273974,"threshold_uncertainty_score":0.999005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01663514580971055,"score_gpt":0.2065799681637431,"score_spread":0.1899448223540325,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}